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Early hospital readmission is a predictor of one-year mortality in community-dwelling older Medicare beneficiaries.

ABSTRACT: Hospital readmission within thirty days is common among Medicare beneficiaries, but the relationship between rehospitalization and subsequent mortality in older adults is not known.To compare one-year mortality rates among community-dwelling elderly hospitalized Medicare beneficiaries who did and did not experience early hospital readmission (within 30 days), and to estimate the odds of one-year mortality associated with early hospital readmission and with other patient characteristics.A cohort study of 2133 hospitalized community-dwelling Medicare beneficiaries older than 64 years, who participated in the nationally representative Cost and Use Medicare Current Beneficiary Survey between 2001 and 2004, with follow-up through 2006.One-year mortality after index hospitalization discharge.Three hundred and four (13.7 %) hospitalized beneficiaries had an early hospital readmission. Those with early readmission had higher one-year mortality (38.7 %) than patients who were not readmitted (12.1 %; p<0.001). Early readmission remained independently associated with mortality after adjustment for sociodemographic factors, health and functional status, medical comorbidity, and index hospitalization-related characteristics [HR (95 % CI) 2.97 (2.24-3.92)]. Other patient characteristics independently associated with mortality included age [1.03 (1.02-1.05) per year], low income [1.39 (1.04-1.86)], limited self-rated health [1.60 (1.20-2.14)], two or more recent hospitalizations [1.47 (1.01-2.15)], mobility difficulty [1.51 (1.03-2.20)], being underweight [1.62 (1.14-2.31)], and several comorbid conditions, including chronic lung disease, cancer, renal failure, and weight loss. Hospitalization-related factors independently associated with mortality included longer length of stay, discharge to a skilled nursing facility for post-acute care, and primary diagnoses of infections, cancer, acute myocardial infarction, and heart failure.Among community-dwelling older adults, early hospital readmission is a marker for notably increased risk of one-year mortality. Providers, patients, and families all might respond profitably to an early readmission by reviewing treatment plans and goals of care.

SUBMITTER: Lum HD

PROVIDER: S-EPMC3475824 | biostudies-other | 2012 Nov

REPOSITORIES: biostudies-other

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Early hospital readmission is a predictor of one-year mortality in community-dwelling older Medicare beneficiaries.

Lum Hillary D HD Studenski Stephanie A SA Degenholtz Howard B HB Hardy Susan E SE

Journal of general internal medicine 20120613 11

<h4>Background</h4>Hospital readmission within thirty days is common among Medicare beneficiaries, but the relationship between rehospitalization and subsequent mortality in older adults is not known.<h4>Objective</h4>To compare one-year mortality rates among community-dwelling elderly hospitalized Medicare beneficiaries who did and did not experience early hospital readmission (within 30 days), and to estimate the odds of one-year mortality associated with early hospital readmission and with ot ...[more]

PMID: 22692634

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Project description:5.8 M living Americans have experienced a stroke at some time in their lives, 780K had either their first or a recurrent stroke this year, and 150K died from strokes this year. Stroke costs about $66B annually in the US, and also results in serious, long-term disability. Therefore, it is prudent to identify all possible risk factors and their effects so that appropriate intervention points may be targeted.Baseline (1993-1994) interview data from the nationally representative Survey on Assets and Health Dynamics among the Oldest Old (AHEAD) were linked to 1993-2005 Medicare claims. Participants were 5,511 self-respondents >or= 70 years old. Two ICD9-CM case-identification approaches were used. Two approaches to stroke case-identification based on ICD9-CM codes were used, one emphasized sensitivity and the other emphasized specificity. Participants were censored at death or enrollment into managed Medicare. Baseline risk factors included sociodemographic, socioeconomic, place of residence, health behavior, disease history, and functional and cognitive status measures. A time-dependent marker reflecting post-baseline non-stroke hospitalizations was included to reflect health shocks, and sensitivity analyses were conducted to identify its peak effect. Competing risk, proportional hazards regression was used.Post-baseline strokes occurred for 545 (9.9%; high sensitivity approach) and 374 (6.8%; high specificity approach) participants. The greatest static risks involved increased age, being widowed or never married, living in multi-story buildings, reporting a baseline history of diabetes, hypertension, or stroke, and reporting difficulty picking up a dime, refusing to answer the delayed word recall test, or having poor cognition. Risks were similar for both case-identification approaches and for recurrent and first-ever vs. only first-ever strokes. The time-dependent health shock (recent hospitalization) marker did not alter the static model effect estimates, but increased stroke risk by 200% or more.The effect of our health shock marker (a time-dependent recent hospitalization indicator) was large and did not mediate the effects of the traditional risk factors. This suggests an especially vulnerable post-hospital transition period from adverse effects associated with both their underlying health shock (the reasons for the recent hospital admission) and the consequences of their treatments.

Project description:BACKGROUND & AIMS:Gastrointestinal bleeding results in significant morbidity, mortality, and healthcare costs in the United States. The Center for Medicare and Medicaid Services' payment reform programs assess quality and value based on rates of hospital readmission for patients with gastrointestinal bleeding, but they identify these patients using Medicare Severity Diagnosis Related Groups (MS-DRGs), which include many types of gastrointestinal bleeding and do not account for the clinical heterogeneity among these patients. We aimed to characterize heterogeneity in outcomes of subgroups of patients with gastrointestinal bleeding. METHODS:We performed was a cross-sectional, claims-based retrospective analysis of Medicare fee for service beneficiaries hospitalized for gastrointestinal bleeding in 2014 (159,000 hospitalizations). The primary outcome was unplanned readmission within 30 days of discharge from the hospital (30-day readmission). Secondary outcomes included length of stay, inpatient mortality, and death within 30 days of admission to the hospital (30-day mortality). Analyses were adjusted for age, sex, race, and Elixhauser comorbidities using logistic and Poisson regression, adjusting for clustering within hospitals. RESULTS:The 30-day readmission rate was 16.0%. Readmission rates varied among patients with different types of gastrointestinal bleeding, ranging from 13.5% for diverticular bleeding to 18.6% for small bowel bleeding. The mean length of stay was 4.2 days and 30-day mortality was 6.9% (ranging from 3.4% for diverticular bleeding to 12.1% for upper gastrointestinal bleeding not otherwise specified). When hospitalizations were stratified by MS-DRGs, the main source of variation in rates of readmission and mortality was MS-DRGs. CONCLUSIONS:In a retrospective analysis of Medicare fee for service beneficiaries hospitalized for gastrointestinal bleeding, we found that 16% of these patients are readmitted to the hospital. Rates of hospital readmission, length of stay, and mortality vary with type of gastrointestinal bleeding, but MS-DRGs account for the largest source of variation. Policies focused on quality and value should account for this heterogeneity.

Project description:BackgroundPatients with serious mental illness (i.e., SMI; bipolar disorder, major depressive disorder, and schizophrenia) are at increased risk of readmission, yet little is known about the extent to which readmission rates among these patients vary across hospitals. The purpose of this study was to examine the variation across hospitals in readmissions for patients with SMI and differences in the characteristics of hospitals with the highest and lowest adjusted readmission rates.MethodsWe conducted a cross-sectional analysis of pooled inpatient claims from 2013-2016. Mixed logit models with hospital random effects were used to estimate the hospital-level variance. The sample included patients with SMI from a 5% sample of fee-for-service Medicare beneficiaries.ResultsWe identified 2066 hospitals with at least 30 index admissions for Medicare beneficiaries with SMI. In multivariate analyses, factors most strongly associated with increased risk of readmission included substance use disorder (OR 2.311; p < 0.001) and end stage renal disease (OR 2.024; p < 0.001). Unadjusted readmission for hospitals at the 5th and 95th percentiles of performance were 7.05% and 15.24%, respectively, constituting an 8.2% difference. Adjusting for patient and community characteristics reduced the spread in readmission rates between the 5th and 95th percentiles of hospitals by 1.0% (i.e. to 7.2%). Hospitals in the lowest vs. highest quintiles of adjusted readmission rates were more likely to be teaching hospitals (11.1% vs. 16.7%; p < 0.05) and located in the South (37.7% vs. 40.4%) or Midwest (19.8% vs. 30.0%; p < 0.001 for region differences).ConclusionsThere is substantial hospital-level variation in readmission rates among patients with serious mental illness, even after adjusting for patient and community characteristics. This has implications for policy guiding investment in hospital-based services and community resources, to improve transitions of care for patients with SMI.

Project description:BACKGROUND:Readmission within 30 d of an acute hospital stay is frequent, costly, and increasingly subject to penalties. Early readmission is most common after vascular surgery; these patients are often discharged to skilled nursing facilities (SNFs), making postacute care an essential partner in reducing readmissions. We characterize 30-day readmissions among vascular surgery patients discharged to SNF to provide evidence for this understudied segment of readmission after specialty surgery. METHODS:We utilize the Centers for Medicare & Medicaid Services Chronic Conditions Warehouse, a longitudinal 5% national random sample of Medicare beneficiaries to study 30-day readmission or death after discharge to SNF following abdominal aortic aneurysm repair or lower extremity revascularization from 2005-2009. Descriptive statistics and logistic regression with Least Adaptive Shrinkage and Selection Operator were used for analysis. RESULTS:Two thousand one hundred ninety-seven patients underwent an abdominal aortic aneurysm procedure or lower extremity revascularization at 686 hospitals and discharged to 1714 SNFs. Eight hundred (36%) were readmitted or had died at 30 d. In adjusted analysis, predictors of readmission or death at 30 d included SNF for-profit status (OR [odds ratio] = 1.2; P = 0.032), number of hospitalizations in the previous year (OR = 1.06; P = 0.011), number of comorbidities (OR = 1.06; P = 0.004), emergent procedure (OR = 1.69; P < 0.001), renal complication (OR = 1.38; P = 0.003), respiratory complication (OR = 1.45; P < 0.001), thromboembolic complication (OR = 1.57; P = 0.019), and wound complication (OR = 0.70; P = 0.017). CONCLUSIONS:Patients discharged to SNF following vascular surgery have exceptionally high rates of readmission or death at 30 d. Many factors predicting readmission or death potentially modify decision-making around discharge, making early detection, discharge planning, and matching patient needs to SNF capabilities essential to improving outcomes.

Project description:ImportanceThe Centers for Medicare & Medicaid Services is beginning to consider adjusting for social risk factors, such as dual eligibility for Medicare and Medicaid, when evaluating hospital performance under value-based purchasing programs. It is unknown whether dual eligibility represents a unique domain of social risk or instead represents clinical risk unmeasured by variables available in traditional Medicare claims.ObjectiveTo assess how dual eligibility for Medicare and Medicaid is associated with risk-adjusted readmission rates after surgery.Design, setting, and participantsA retrospective cohort study was conducted of 55 651 Medicare beneficiaries undergoing general, vascular, and gynecologic surgery at 62 hospitals in Michigan between January 1, 2014, and December 1, 2016. Representative cohorts were derived from traditional Medicare claims (n?=?29?710) and the Michigan Surgical Quality Collaborative (MSQC) clinical registry (n?=?25?941), which includes additional measures of clinical risk. Statistical analysis was conducted between April 10 and July 15, 2019. The association between dual eligibility and risk-adjusted 30-day readmission rates after surgery was compared between models inclusive and exclusive of additional measurements of clinical risk. The study also examined how dual eligibility is associated with hospital profiling using risk-adjusted readmission rates.ExposuresDual eligibility for Medicare and Medicaid.Main outcomes and measuresRisk-adjusted all-cause 30-day readmission after surgery.ResultsThere were a total of 3986 dual-eligible beneficiaries in the Medicare claims cohort (2554 women; mean [SD] age, 72.9 [6.9] years) and 1608 dual-eligible beneficiaries in the MSQC cohort (990 women; mean [SD] age, 72.9 [6.8] years). In both data sets, higher proportions of dual-eligible beneficiaries were younger, female, and nonwhite than Medicare-only beneficiaries (Medicare claims cohort: female, 2554 of 3986 [64.1%] vs 12?879 of 25?724 [50.1%]; nonwhite, 1225 of 3986 [30.7%] vs 2783 of 25?724 [10.8%]; MSQC cohort: female, 990 of 1608 [61.6%] vs 12?578 of 24?333 [51.7%]; nonwhite, 416 of 1608 [25.9%] vs 2176 of 24?333 [8.9%]). In the Medicare claims cohort, dual-eligible beneficiaries were more likely to be readmitted (15.5% [95% CI, 13.7%-17.3%]) than Medicare-only beneficiaries (13.3% [95% CI, 12.7%-13.9%]; difference, 2.2 percentage points [95% CI, 0.4-3.9 percentage points]). In the MSQC cohort, after adjustment for more granular measures of clinical risk, dual eligibility was not significantly associated with readmission (difference, 0.6 percentage points [95% CI, -1.0 to 2.2 percentage points]). In both the Medicare claims and MSQC cohorts, adding dual eligibility to risk-adjustment models had little association with hospital ranking using risk-adjusted readmission rates.Conclusions and relevanceThis study suggests that dual eligibility for Medicare and Medicaid may reflect unmeasured clinical risk of readmission in claims data. Policy makers should consider incorporating more robust measures of social risk into risk-adjustment models used by value-based purchasing programs.

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Early hospital readmission is a predictor of one-year mortality in community-dwelling older Medicare beneficiaries.

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Early hospital readmission is a predictor of one-year mortality in community-dwelling older Medicare beneficiaries.

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